code: def uniform(
      shape,
      minval=0,
      maxval=None,
      dtype=tf.float32,
      seed=None,
      name=None,
  ):
      """As `tf.random.uniform`, but handling stateful/stateless `seed`s."""
      with tf.name_scope(name or "uniform"):
          seed = sanitize_seed(seed)
          return tf.random.stateless_uniform(
              shape=shape,
              seed=seed,
              minval=minval,
              maxval=maxval,
              dtype=dtype,
          )
  
file_path: probability/tensorflow_probability/python/internal/samplers.py
imports: import hashlib
  import warnings
  import numpy
  import six
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import prefer_static
label_desc: Use image node_id 12 for calling a global function with example usage: uniform(shape, minval, maxval, dtype, seed, name) and returns: tf